CPU Architect - ARM / RISC-V

European Tech Recruit
Cambridge
9 months ago
Applications closed

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Principal Machine Learning Engineer – Production Systems

Principal Machine Learning Engineer - Production Systems

Computer Vision & SDK Development Lead

Computer Vision & SDK Development Lead

We are working with one of the world's leading CPU development groups who are looking to add CPU experts and architects to their team in Cambridge. This role will see you work on next-generation computing systems that will help to shape technologies across AI, automotive, data centers and wireless communications. The team is open to people from both industry and strong computing architecture academic research backgrounds. The role would be located on-site in Cambridge and could operate on a hybrid basis.


Responsibilities:

  • Analyzing CPU performance, power, and cost, and identifying technological limitations to overcome.
  • Collaborating with Architects to develop key technologies that ensure our CPUs remain industry-leading.
  • Defining next-generation cluster solutions based on advanced CPUs.
  • Developing expertise in the competitive landscape and understanding technologies required for solutions in areas like Infrastructure, Computer Vision, and Machine Learning.


Required Skills and Experience:

  • Knowledge and experience in CPU architecture/microarchitecture, gained through development/research in CPU/system power/performance analysis/modeling/design and/or workload analysis/characterization/software optimization.
  • Ability to work effectively independently and as part of geographically distributed, cross-functional teams.
  • A drive to innovate, think creatively, explore new avenues, and influence colleagues through detailed investigations.
  • Exposure to working on ARM or RISC-V based architectures


Additional expertise to support application:

  • Experience with advanced CPU techniques, including branch prediction and prefetchers (microarchitecture, design, etc.).
  • Proficiency in CPU performance analysis and/or modeling.
  • Experience with power modeling/estimation of CPU/GPU/SoC.
  • Experience in the design/implementation of CPU/GPU IPs.
  • Experience with workload analysis, characterization, and/or optimizing open-source software.
  • Familiarity with CPU infrastructure architectures and related system constraints.
  • Ability to work with emerging technologies and stay current with the latest research.
  • Thriving in an open work environment that encourages contributions to product and roadmap development through ideas, prototypes, and empirical analysis.


Keywords:

CPU / Computing Architecture / CPUs / ARM / RISC-V / RISCV / GPU / MCU / Microarchitecture / performance analysis / system power / IP / Research / R&D / PhD / Cambridge / UK


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